Improve lineup string processing in `load_file.py` for accurate position extraction

- Enhanced the logic for replacing position indicators in the `Lineup` column to ensure only those at the start of player entries are replaced, preventing unintended modifications within player names.
- Added stripping of whitespace after splitting the `Lineup` string into individual columns, improving data cleanliness and usability.

global_func/load_file.py

@@ -21,9 +21,14 @@ def load_file(upload):
             
             df = raw_df[['EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup', 'Player', 'Roster Position', '%Drafted', 'FPTS']]
             df = df.rename(columns={'Roster Position': 'Pos', '%Drafted': 'Own'})
-            df['Lineup'] = df['Lineup'].replace(pos_values, [',']*len(pos_values), regex=True)
+            # Split the lineup string by replacing position indicators with commas
+            # We need to ensure we only replace position indicators that are at the start of a player entry
+            # and not those that might appear within player names
+            df['Lineup'] = df['Lineup'].str.replace(r'\b(' + '|'.join(pos_values) + r')\b', r'\1,', regex=True)
+            
+            # Split into individual columns
             for i in range(0,9):
-                df[i] = df['Lineup'].str.split(',').str[i]
+                df[i] = df['Lineup'].str.split(',').str[i].str.strip()
             position_dict = dict(zip(df['Player'], df['Pos']))
             ownership_dict = dict(zip(df['Player'], df['Own']))
             entry_list = list(set(df['EntryName']))